Network Device Including Trained Neural Network

2. The device of claim 1, wherein the processing circuitry includes programmable hardware.

3. The device of claim 2, wherein the programmable hardware is a field programmable gate array.

4. The device of claim 1, wherein the input header and the output header are in a P4 format.

5. The device of claim 1, wherein the trained neural network is a Boltzmann Machine.

6. The device of claim 5, wherein the transceiver is configured to send the output packet to a first number of network elements and the Boltzmann Machine includes a same number of visible units as the first number of network elements.

7. The device of claim 6, wherein the Boltzmann Machine includes a second number of hidden units, wherein the second number is greater than the first number.

9. The device of claim 8, wherein the transceiver includes a plurality of ports, each of the plurality of ports is communicatively connected to a respective network element among the plurality of network elements.

11. The method of claim 10, wherein the network device includes programmable hardware.

12. The method of claim 11, wherein the programmable hardware is a field programmable gate array.

13. The method of claim 10, wherein the input header and the output packet header are in a P4 format.

14. The method of claim 10, wherein the trained neural network is a Boltzmann Machine.